Assessment of Power Quality Events by Empirical Mode Decomposition based Neural Network
نویسنده
چکیده
The paper presents assessment of various power quality events based on Empirical Mode Decomposition (EMD) with Hilbert Transform (HT). EMD method decomposes the signal into waveforms modulated in both amplitude and frequency. The oscillatory modes embedded in the signal are extracted by employing sifting process. These oscillatory modes are called Intrinsic Mode Functions (IMFs). The magnitude plot of the Hilbert Transform of the first IMF correctly detects the event. The characteristic features of the first three IMFs of each disturbance are used as inputs to Probabilistic Neural Network (PNN) for identification of the disturbances. Simulation results show that EMD method can effectively classify the power quality disturbances. Keywords-Empirical mode decomposition, intrinsic mode functions, hilbert transform, power quality events, probabilistic neural network.
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